Expert annotation, labeling, and dataset preparation for machine learning and robotics companies worldwide. From image bounding boxes to robotic movement analysis — we deliver data that trains intelligent systems.
Lydertronics is a specialized AI data services company operating at trainbot.in, dedicated to building the training foundations that modern ML and robotics systems depend on.
We combine deep domain expertise in computer vision, speech processing, and robotic motion analysis with rigorous quality control to deliver datasets that make AI systems smarter, faster, and more reliable.
From early-stage AI startups to advanced robotics research labs across the USA, Europe, and India — we are the data backbone that powers breakthroughs.
Serving AI companies, robotics startups, research institutions, and technology firms globally with enterprise-grade annotation services.
Comprehensive annotation and dataset preparation across images, video, audio, and robotic systems.
Precise pixel-level annotation for classification, segmentation, and detection tasks. Optimized for large-scale AI training pipelines.
Accurate 2D and 3D bounding box labeling for object detection models in autonomous vehicles, drones, and industrial vision systems.
Multi-class tagging and classification labeling for image datasets. Scalable workflows with rigorous inter-annotator agreement checks.
Frame-by-frame video annotation including object tracking, action recognition, and temporal segmentation for dynamic scene understanding.
Behavioral evaluation of robotic systems — grasping accuracy, path tracking, manipulation performance, and edge-case failure tagging.
High-accuracy speech-to-text transcription across multiple languages including English and Telugu for ASR and NLP model training.
End-to-end dataset curation: collection, cleaning, formatting, splitting, and validation in ML-ready formats like COCO, YOLO, and custom schemas.
A selection of completed AI data projects delivered across multiple verticals.
English and Telugu speech transcription for AI dataset creation. Accurate speech-to-text labeling for ASR model fine-tuning with multilingual support.
Large-scale object detection dataset using precise bounding box annotation across multiple object classes for real-time vision model training.
Comprehensive analysis of robotic movements and behavior in video datasets. Evaluated grasping precision, movement accuracy, and object handling outcomes.
Image classification and multi-label tagging for AI training datasets. Structured labeling workflows with quality reviews across thousands of images per batch.
We don't just label data — we build the datasets that define AI performance.
Our annotators are trained in computer vision, NLP, and robotics — not just general-purpose labeling. We understand your model's needs.
Native-level accuracy in English, Telugu, and other Indian languages for audio and text datasets.
Multi-stage QA workflows with consensus scoring and senior review ensure annotation accuracy consistently above 99%.
Specialized capability in evaluating robot motion data — grasp success rates, manipulation errors, and behavioral tagging.
Flexible team scaling from hundreds to millions of annotations, with turnaround times matching your ML sprint cycles.
Deliverables in COCO, YOLO, Pascal VOC, CSV, JSON, or any custom schema your training pipeline requires.
Tell us about your project and we'll get back to you with a tailored data solution.
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